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222 articles for “Social media”
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Navigating the Digital Frontier: An In-depth Analysis of Classroom Digitalization
Abstract: When we talk about the Internet, we think about the likes of social media, or platforms like Google which has an unfathomable archive of information which is available for any and every individual to use up to their own likings. However, there are several challenges and complexities associated with the Internet's impact on social interactions. The issues of online harassment, privacy, and the addictive nature of social media have become …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Twitter based TV Rating Analysis with TV-viewing and Sentiment Analysis
Abstract: Social Media is now used as a back channel to TV programs by viewers who would like to express their opinion about watching programs or just simply put on records of TV viewing. TV viewing rate is a critical indicator regarding the popularity of programs.Now a day’s social media is generally used to gather crowd sentiments to gather this information. Current methodologies based on Neilsen TV ratings adopt small sample …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 21–28 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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TELEVISION MEDIA AND CHILDREN: A SOCIOLOGICAL INSIGHT ON RURAL SOCIETY IN PUNJAB
Abstract: The present paper deals with to understand the media forms of television and digital media as an influential agent of socialisation in contemporary society, especially among the children. The increasing accessibility of television and digital media, especially in the rural society of Punjab, have greatly impacted the patterns of childhood socialisation, cultural norms, religious practices, attitudes, and routine behaviour. During the study it is found that television continues to occupy …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 21–34 Read article
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Sentiment Analysis and Text Summarization Review
Abstract: In this global era, it has been a significant task to find out what other people think of the information extraction behavior of an online user. People often express or share their moods, opinions, attitudes, ideas, on the social media sites and blogs. The platform of social media sites and blogs became the research base for analyzing the sentiments or opinions of the users. These sites became so popular that …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 1–7 Read article
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Hybrid approach for emotion detection in text using spatial-temporal features
Abstract: In recent years, the incredible exploratory growth of online data in social media mainly Twitter has to lead to growing attention of researchers towards Affective analysis of social media streams. Around 500 million tweets are generated per day all around the globe. Classification of these tweets into different affective classes is an arduous task. We propose a novel approach of classifying a tweet into Ekman’s six basic emotion classes using …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 34–44 Read article
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Study of Data Science in Online Behavioral Advertising
Abstract: The proliferation of the COVID-19 pandemic has led to a growing significance of social media in people's lives. Online activity in the digital domain has expanded considerably, showing a higher reliance on social media platforms for communication in both personal and professional situations. Coronavirus has a global impact on e-commerce and hence transformed the nature of business. Despite the COVID-19 issue and economic slowdown, the Indian e-commerce industry exhibited an …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Opportunities & Challenges of Local Newspapers in Rural Communication
Abstract: Communication is essential to modern society, serving as the backbone of interactions and information sharing within communities. Among the various forms of media, local newspapers play a crucial role in shaping the development landscape of rural areas. They serve as vital sources of information that connect communities and facilitate development initiatives, bridging the gap between the government, non-governmental organizations, and rural residents. By providing important information about welfare schemes, agricultural …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 42–46 Read article
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Business Automation Using Artificial Intelligence in Post COVID-19 Era
Abstract: After COVID-19, the business sector got hit pretty badly. The immediate transfer from traditional marketing to social media marketing changed up pretty quickly. People got confined inside their houses, so online shopping became the top priority, and it was the priority of every sector to bring their best game out on social media. A unique approach for better customer satisfaction was required. Delivering on these needs, we discuss various new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Social Emotion Prediction: A Review of Sentiment Analysis Techniques Used in Social Networks
Abstract: Social media has become the most substantial resource of information due to its rapid growth from last one and half decade. Web users share their ideas, thoughts, experiences, and opinions about different entities and events through social networks, blogging platforms, forums, and reviews. Social media tends to attract more and more researchers to analyze this tremendous amount of unstructured data for creating new insights. This data is used for sentiment …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 26–35 Read article
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A Comprehensive Method for Sentiment Analysis on Twitter Posts
Abstract: AbstractIn recent years, with ascent of users of social media, researchers get drawn to sentiment analysis. The challenge is that sentiment-dependent info from multiple sources does not seem to be thought of usually in existing sentiment classification techniques. Sentiment analysis is incredibly vital as a result of it helps folks and organizations in their decision-making process. There is vast explosion of “sentiments” on the market from social media like Twitter, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Development of Hybrid Detection and Alert mechanism for Women Safety using AI
Abstract: The integration of AI-based smart surveillance systems in enhancing women's safety and security has been a focal point of research and development. This literature study explores the impact of information technology advancements, particularly in the realm of mobile applications, GPS tracking, and social media platforms, on improving women's safety. Noteworthy contributions include the development of apps such as Circle of 6 and Be Safe, which offer women immediate access to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 36–46 Read article
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Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms
Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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A Study on the Use of Wi-Fi Service by the Users of Mirza Mehmood Beg Library, Zakir Husain Delhi College (University Of Delhi), New Delhi
Abstract: AbstractIn the era of exponential growth and development in the field of Information Communication Technology (ICT), it has become essential for the libraries to provide services to their users in accordance with their present day needs based on and using Internet. Internet has become most powerful and fast growing segment in library services [1]. Keeping in view the needs of the users, majority of the libraries have started providing facility …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 1, 2016 · pp. 56–61 Read article
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A Survey Paper on Estimating the Online Social Networking Site
Abstract: A social network is a set of people or organizations or other social entities connected by set of social relationships such as friendship, co-working or information exchange. Estimating the server load of online social network sites is the most challenging research topic of the network management system. Also the online social web servers are existing in various countries. This Paper provides the necessary background on the online socialnetworking sites and …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 2, 2014 · pp. 9–15 Read article
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Navigating the Cyber World: An In-depth Analysis of Internet Usage, Risks, and Influences on Adolescents
Abstract: This study surveyed aged 10 years and up to learn more about their online habits. In order to learn more about the online habits of this group, the survey asked questions regarding the frequency, duration, and motivations for respondents' time spent online. The study also looked at high-risk behaviours like excessive screen time, increased social media use, and extended gaming sessions as possible indicators of problematic internet use. Indicators of …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 19–25 Read article
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Sentiment Analysis of Twitter Data for Better Services of Airlines Using Classifier-Model Algorithms, AI, and NLP Techniques
Abstract: The rising attractiveness of social media sites and usage of social websites is to share information. Tweet, for instance, is a stage in which audiences direct, and examine posts recognized as “tweets,” and engage together in one-of-a-kind communities through feedback, comments, tweets, and reviews. There are so many companies that want tweets, comments, reviews, and analyses on their products and services, so they can improve their services, products, and customer …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 29–46 Read article